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Volumn , Issue , 2012, Pages 285-288

Enlister: Baidu's recommender system for the biggest Chinese Q&A website

Author keywords

Machine learning; Maximum entropy; Stream computing

Indexed keywords

CLICK-THROUGH RATE; DATA PROCESS; DESIGN CONCEPT; DIVIDE AND CONQUER; FUNDAMENTAL MODELS; MASSIVE DATA; MAXIMUM ENTROPY; MAXIMUM ENTROPY MODELS; ON-LINE TESTS; OPTIMIZATION METHOD; PROCESSING PROBLEMS; REAL-WORLD PRACTICE; RECOMMENDATION ACCURACY; RECOMMENDATION ALGORITHMS; STREAM COMPUTING; SYSTEM ARCHITECTURES;

EID: 84867389835     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2365952.2366016     Document Type: Conference Paper
Times cited : (28)

References (8)
  • 1
    • 34249990939 scopus 로고    scopus 로고
    • Collaborative filtering recommender system
    • 2007, DOI: 10.1007/978-3-540-72079-9-9
    • Michael J. Pazzani and Daniel Billsus. 2007. Collaborative Filtering Recommender System. Lecture Notes in Computer Science, 2007, volume 4321/2007, 291-324, DOI: 10.1007/978-3-540-72079-9-9.
    • (2007) Lecture Notes in Computer Science, 2007 , vol.4321 , pp. 291-324
    • Pazzani, M.J.1    Billsus, D.2
  • 6
    • 84867371423 scopus 로고    scopus 로고
    • Effective question recommendation using multiple features for question answering communities
    • Yutaka Kabutoya, Tomoharu Iwata, Hisako Shiohara, Ko Fujimura. Effective Question Recommendation using Multiple Features for Question Answering Communities. IPSJ Transaction on Database (TOD), Vol.3, No. 4, 34-47, 2010.
    • (2010) IPSJ Transaction on Database (TOD) , vol.3 , Issue.4 , pp. 34-47
    • Kabutoya, Y.1    Iwata, T.2    Shiohara, H.3    Fujimura, K.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.